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Data · dataset · 2025

The inversion ionosphere parameters based on the automatic model for tweek atmospherics (Zhang et al., 2023) recorded by the VLF sensor in Duke Forest during January to April, 2010.

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Description

48395 1st-order tweeks in total, the variables are:dt, Occurrence time for each tweek signal h, Reflection height of the tweek signal (Unit: [km])Ne, The electron density at the reflection height (Unit: [cm-3])D, Horizontal propagation distance of the tweek signal (Unit: [km])pos, The source lightning location [latitude, longitude](Note: to trace the source lightning, the NLDN lists are used to compare the lightning stroke time and the start time of the tweek signals)Reference:Zhang, M., Lu, G. P., Huang, H. L., Cheng, Z. W., Chen, Y. Z., Cummer, S. A., Zheng, J. Y., and Lei, J. H. (2023).

Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method. Earth Planet. Phys., 7(3), 1–7. doi.org/10.26464/epp2023039

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Atmospheric sciences 74%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2546610 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:3701enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (74%)
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